Triple

T10156761
Position Surface form Disambiguated ID Type / Status
Subject Transfer-Encoding header field E233793 entity
Predicate requiresForChunked P84756 FINISHED
Object chunk-size line for each chunk LITERAL FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: chunk-size line for each chunk | Statement: [Transfer-Encoding header field, requiresForChunked, chunk-size line for each chunk]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: requiresForChunked
Context triple: [Transfer-Encoding header field, requiresForChunked, chunk-size line for each chunk]
  • A. requiresForFeature chosen
    Indicates that one entity must be present, implemented, or satisfied in order for a particular feature of another entity to be available or function correctly.
  • B. requiresResponse
    Indicates that an action, event, or communication necessitates a reply or follow-up response from another party.
  • C. requiresSources
    Indicates that something must be supported, justified, or validated by one or more external sources.
  • D. requiresContext
    Indicates that the relationship or action cannot be properly understood or evaluated without additional surrounding information, conditions, or circumstances.
  • E. mayRequireComponent
    Indicates that one entity can optionally depend on or need another entity as a component for its proper use or operation.
  • F. None of above.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ca848e80748190b91d1e04d35512c7 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cdec3c47dc81909679903e6024eb49 completed April 2, 2026, 4:10 a.m.
PD Predicate disambiguation batch_69cd4ba795808190acc9124c98c6e40f completed April 1, 2026, 4:45 p.m.
Created at: March 30, 2026, 9:09 p.m.